A New Fault Diagnosis Approach for Heavy-Duty Gas Turbines
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada
2. Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/3516/9924619/09676625.pdf?arnumber=9676625
Reference37 articles.
1. Model-based robust fault detection and isolation of an industrial gas turbine prototype using soft computing techniques
2. Nonlinear Dynamic System Identification
3. Modelling and Identification with Rational Orthogonal Basis Functions
4. Laguerre discrete-time filter design
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